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  2. MIT Computer Science and Artificial Intelligence Laboratory

    en.wikipedia.org/wiki/MIT_Computer_Science_and...

    As a result, the MIT AI Lab was formed in 1970, and many of Minsky's AI colleagues left Project MAC to join him in the new laboratory, while most of the remaining members went on to form the Laboratory for Computer Science. Talented programmers such as Richard Stallman, who used TECO to develop EMACS, flourished in the AI Lab during this time.

  3. Stochastic parrot - Wikipedia

    en.wikipedia.org/wiki/Stochastic_parrot

    In the mind of a human being, words and language correspond to things one has experienced. [18] For LLMs, words may correspond only to other words and patterns of usage fed into their training data. [19] [20] [4] Proponents of the idea of stochastic parrots thus conclude that LLMs are incapable of actually understanding language. [19] [4]

  4. Predictive coding - Wikipedia

    en.wikipedia.org/wiki/Predictive_coding

    A comparison between predictions and sensory input yields a difference measure (e.g. prediction error, free energy, or surprise) which, if it is sufficiently large beyond the levels of expected statistical noise, will cause the internal model to update so that it better predicts sensory input in the future.

  5. Computing Machinery and Intelligence - Wikipedia

    en.wikipedia.org/wiki/Computing_Machinery_and...

    "Computing Machinery and Intelligence" is a seminal paper written by Alan Turing on the topic of artificial intelligence.The paper, published in 1950 in Mind, was the first to introduce his concept of what is now known as the Turing test to the general public.

  6. Winograd schema challenge - Wikipedia

    en.wikipedia.org/wiki/Winograd_schema_challenge

    The Winograd schema challenge (WSC) is a test of machine intelligence proposed in 2012 by Hector Levesque, a computer scientist at the University of Toronto.Designed to be an improvement on the Turing test, it is a multiple-choice test that employs questions of a very specific structure: they are instances of what are called Winograd schemas, named after Terry Winograd, professor of computer ...

  7. Turing machine equivalents - Wikipedia

    en.wikipedia.org/wiki/Turing_machine_equivalents

    Turing's a-machine model. Turing's a-machine (as he called it) was left-ended, right-end-infinite. He provided symbols əə to mark the left end. A finite number of tape symbols were permitted. The instructions (if a universal machine), and the "input" and "out" were written only on "F-squares", and markers were to appear on "E-squares".

  8. Comparison of programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_programming...

    The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests.

  9. Chinese room - Wikipedia

    en.wikipedia.org/wiki/Chinese_room

    Turing writes, "all digital computers are in a sense equivalent." [53] The widely accepted Church–Turing thesis holds that any function computable by an effective procedure is computable by a Turing machine. The Turing completeness of the Chinese room implies that it can do whatever any other digital computer can do (albeit much, much more ...